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The Knowledge Information Hotlist – Middle for Knowledge Innovation

The Pro Garden by The Pro Garden
January 23, 2022
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The Knowledge Information Hotlist – Middle for Knowledge Innovation
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This week’s checklist of knowledge information highlights covers January 15, 2022 to January 21, 2022 and contains articles on constructing 99 % error-free quantum processors and utilizing a machine studying mannequin to unravel a 243-year-old puzzle. 

1. Instructing On-line Lessons

Arizona State College has introduced a brand new international schooling initiative to enroll 100 million college students around the globe in on-line programs by 2030. Professors will seem as digital avatars and use an AI system to complement programs and grade college students. 

2. Coaching Machine Studying Fashions

Researchers at Meta have created an algorithm that may practice machine studying fashions to acknowledge photographs, textual content, and speech on the similar time. Their algorithm improves upon present efforts to coach machine studying fashions by unifying coaching strategies for all three expertise. 

3. Recommending Outfits

Amazon is opening its first brick-and-mortar clothes retailer in Glendale, California. The shop will make the most of an AI system to offer customized suggestions on fashion and match to clients and ship a number of clothes based mostly off of the suggestions to clients’ dressing rooms.

4. Predicting Cosmic Traits

An undergraduate pupil at Princeton College has created a machine studying mannequin that may precisely estimate the quantity of matter in a computer-simulated universe by analyzing simply considered one of its galaxies. A crew of researchers led by astrophysicists on the Flatiron Institute in New York confirmed that the mannequin can predict a universe’s density of matter to inside ten %. 

5. Estimating Mortality Dangers from COVID-19

Researchers at Charity-College Drugs in Berlin, Germany have created a machine studying mannequin that may predict well being outcomes for sufferers hospitalized with COVID-19. The mannequin measures the degrees of 14 proteins in a blood pattern to offer an estimate of mortality dangers. 

6. Constructing Quantum Processors

Three groups of researchers in Australia, Japan, and the Netherlands have constructed silicon-based quantum processors which might be greater than 99 % error-free. Utilizing silicon makes the quantum gadgets extra appropriate with different applied sciences mandatory for constructing quantum computer systems, and improves their scalability. 

7. Fixing Puzzles

A global crew of researchers has solved Euler’s 243-year-old combinatorics puzzle with a machine studying mannequin. The puzzle, which known as the 36 officers drawback, asks whether it is potential to rearrange 36 officers drawn from 6 completely different regiments, every of which even have officers of 6 completely different ranks, in a sq. so that every row and column has officers of various rank and regiment. The crew used a machine studying mannequin to show {that a} answer may theoretically exist in a quantum state.

8. Figuring out Anne Frank’s Betrayer

A global crew of researchers has created a brand new speculation of who betrayed Anne Frank and her household. The crew used an AI system to determine connections between proof held in archives around the globe and located an neglected word with the potential informant’s title. 

9. Shopping for Jerseys with Augmented Actuality

Snapchat has partnered with Microsoft, the Los Angeles Lakers basketball crew, and Hexa, a 3D visualization firm in Israel, to promote Lakers jerseys on their platform. Customers can strive on and buy jerseys just about with augmented actuality.

10. Bettering Diagnostic Instruments

Researchers at Duke College have created an AI system that may detect probably cancerous lesions in photographs of mammography scans and predict whether or not the affected person ought to endure additional testing. Not like related instruments, the crew educated the system to be interpretable so medical doctors can perceive why the system recommends sure actions. 

Picture credit score: Flickr consumer Dano



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